Unravelling causal and temporal influences underpinning monitoring systems success: a typological approach

Journal article

Iannacci, F. and Comford, T. 2017. Unravelling causal and temporal influences underpinning monitoring systems success: a typological approach. Information Systems Journal. https://doi.org/10.1111/isj.12145
AuthorsIannacci, F. and Comford, T.
Abstract

This paper is concerned with the causal and temporal underpinnings of Information Systems (IS) success. It uses a typological approach based on fuzzy-set Qualitative Comparative Analysis (fsQCA) and process tracing. It investigates success across multiple cases of IS adopted for monitoring the disbursement and use of resources within the European Social Fund (ESF). The study unravels the causal mechanisms and temporal pathways underpinning success in these systems. It develops a typological theory of monitoring systems success that reveals the temporal pathways embedded within individual cases, as well as broader theoretical patterns emerging across cases. Theoretical, methodological and practical implications are discussed.

Year2017
JournalInformation Systems Journal
PublisherBlackwell
ISSN1350-1917
Digital Object Identifier (DOI)https://doi.org/10.1111/isj.12145
Publication dates
Print08 May 2017
Publication process dates
Deposited17 Mar 2017
Accepted14 Mar 2017
Accepted author manuscript
Output statusPublished
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https://repository.canterbury.ac.uk/item/881wx/unravelling-causal-and-temporal-influences-underpinning-monitoring-systems-success-a-typological-approach

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